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ClickHouse - Columnar DBMS and Real Time Analytics

  •    C++

ClickHouse is an open source column-oriented database management system capable of real time generation of analytical data reports using SQL queries. It is Linearly Scalable, Blazing Fast, Highly Reliable, Fault Tolerant, Data compression, Real time query processing, Web analytics, Vectorized query execution, Local and distributed joins. It can process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.

incubator-hudi - Upserts And Incremental Processing on Big Data

  •    Java

Hoodie is a Apache Spark library that provides the ability to efficiently do incremental processing on datasets in HDFS

column-rs - Columnar type support for Rust

  •    Rust

column is a Rust library to represent vectors of a certain type in a columnar format. The columnar representation is beneficial when iterating a large number of elements but only looking at a subset of a type's fields. at your option.

array - Manipulate columnar data efficiently using typed arrays.

  •    Javascript

This library provides methods for operating on columnar data represented as parallel arrays. Most operations involve computing an index—an array of integers, each in [0, length - 1]—and then using the index to derive new columns. Returns a new array of values from the specified values array according to the specified index array. The returned array is the same type as the specified values array.

c-store - C-Store : A column-oriented DBMS prototype (frozen)

  •    C++

Note: Do not use this repository as an actual DBMS. It is a mostly-unmaintained research prototype. C-Store was a prototype for a columnar, analytics-focused (read-focused) DBMS, developed in the mid-2000's. Read more about it on the project's (frozen/archived) homepage. It involed researchers such a Daniel Abadi, Samuel Madden, Miguel Ferreira and others (not including the owner/maintainer of this repository!); and resulted in several academic publications.

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